Using image steganography for providing enhanced medical data security

Arslan Usman; Muhammad Rehan Usman

doi:10.1109/CCNC.2018.8319263

Using image steganography for providing enhanced medical data security

Research output: Contribution to conference › Paper › peer-review

Abstract

Recently, image steganography is being considered as an alternative method for securing medical data to avoid medical related cybercrimes. This paper proposes a new image steganography approach for securing medical data. Swapped Huffman tree coding is used to apply lossless compression and manifold encryption to the payload before embedding into the cover image. Additionally, only edge regions of the cover image are used to embed the secret data which offers high imperceptibility. The results show that the proposed method ensures confidentiality and secrecy of patient information while maintaining imperceptibility.

Original language	English
DOIs	https://doi.org/10.1109/CCNC.2018.8319263
Publication status	Published - 13 Jan 2018
Event	2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC) - Las Vegas, U.S. Duration: 12 Jan 2018 → 15 Jan 2018

Conference

Conference	2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC)
Period	12/01/18 → 15/01/18

Bibliographical note

Note: Published in: Proceedings of the 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781538647912

Organising Body: Institute of Electrical and Electronics Engineers

Keywords

Electrical and electronic engineering

Access to Document

10.1109/CCNC.2018.8319263

https://ieeexplore.ieee.org/abstract/document/8319263

Using image steganography for providing enhanced medical data security
Usman, M. A. & Usman, M. R., 13 Jan 2018, Published in: Proceedings of the 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781538647912 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers. p. 1-4
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Cite this

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title = "Using image steganography for providing enhanced medical data security",

abstract = "Recently, image steganography is being considered as an alternative method for securing medical data to avoid medical related cybercrimes. This paper proposes a new image steganography approach for securing medical data. Swapped Huffman tree coding is used to apply lossless compression and manifold encryption to the payload before embedding into the cover image. Additionally, only edge regions of the cover image are used to embed the secret data which offers high imperceptibility. The results show that the proposed method ensures confidentiality and secrecy of patient information while maintaining imperceptibility.",

keywords = "Electrical and electronic engineering",

author = "Arslan Usman and Usman, \{Muhammad Rehan\}",

note = "Note: Published in: Proceedings of the 2018 15th IEEE Annual Consumer Communications \& Networking Conference (CCNC). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781538647912 Organising Body: Institute of Electrical and Electronics Engineers; 2018 15th IEEE Annual Consumer Communications \& Networking Conference (CCNC) ; Conference date: 12-01-2018 Through 15-01-2018",

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PY - 2018/1/13

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N2 - Recently, image steganography is being considered as an alternative method for securing medical data to avoid medical related cybercrimes. This paper proposes a new image steganography approach for securing medical data. Swapped Huffman tree coding is used to apply lossless compression and manifold encryption to the payload before embedding into the cover image. Additionally, only edge regions of the cover image are used to embed the secret data which offers high imperceptibility. The results show that the proposed method ensures confidentiality and secrecy of patient information while maintaining imperceptibility.

AB - Recently, image steganography is being considered as an alternative method for securing medical data to avoid medical related cybercrimes. This paper proposes a new image steganography approach for securing medical data. Swapped Huffman tree coding is used to apply lossless compression and manifold encryption to the payload before embedding into the cover image. Additionally, only edge regions of the cover image are used to embed the secret data which offers high imperceptibility. The results show that the proposed method ensures confidentiality and secrecy of patient information while maintaining imperceptibility.

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DO - 10.1109/CCNC.2018.8319263

M3 - Paper

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ER -

Using image steganography for providing enhanced medical data security

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Research output

Using image steganography for providing enhanced medical data security

Cite this